Implementing Automated Attendance System Using Face Recognition
S Ramana Reddy, B Ballingam, G Nitin Reddy, D Anil Kumar
This paper introduces a method for verifying individuals through facial recognition. Images are collected
during the registration process and for live verification, using OpenCV to enhance data security. Live
facial data is compared to stored records with the help of the DeepFace library for accurate identification.
In case of mismatches, a message is sent to the administrator via Twilio API. Participation records are
updated in an Excel file, marking individuals as present or absent based on verification. This method
offers an efficient and automated way to manage participation records. It combines instant notifications,
real-time data updates, and cloud-based communication to improve performance. By utilizing advanced
tools such as deep learning and computer vision, this project highlights how modern technologies can
streamline processes and ensure accurate and dependable user validation.
